A cancer biomarker screen for drug target selection
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A Cancer Biomarker Screen for Drug Target Selection. Winter ‘13 Tommy Busch. Bioinformatics Drug T arget P rediction. Objective – To identify proteins that would make good targets for monoclonal antibody therapy for cancer

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Presentation Transcript

Bioinformatics drug t arget p rediction
Bioinformatics Drug Target Prediction

Objective – To identify proteins that would make good targets for monoclonal antibody therapy for cancer

Method – Leverage gene expression, copy number, and clinical outcome data from the Cancer Genome Atlas

Rationale – Surface or secreted proteins associated with tumor metastasis have strong potential as pharmacological targets


Selection pipeline
Selection Pipeline

Infer Protein

Activity Level

Differential

Analysis

Z-Score


Results highlights
Results Highlights

Apoptosis

Angiogenesis

Developmental

Signaling

Inflammation


Follow up investigation
Follow-up Investigation

  • Prioritize candidates based on phenotypes of genetic mutants and KO mice

  • Generate monoclonal antibodies for wet lab studies

  • Extend the selection pipeline to other cancers


Recap
Recap

Problem

Can we pick tumor-specific drug targets? Yes

Strategy

Integrative bioinformatics analysis. CGA/GO/SPD


Acknowledgments
Acknowledgments

PI’s

Dr. Philip Berman

Dr. Josh Stuart

Grad Students

Yulia Newton

Ted Goldstein


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